Objective:To understand spatial aggregation of lung cancer mortality and its changing trends over the past fifty years in different counties and districts of Shandong Province from 1970 to 2021.Methods:The mortality data of lung cancer were obtained from the death registration system of Shandong province and three retrospective surveys of death cause. The mortality rate and age-standardized mortality rate were used to describe the changing trend of lung cancer in different years, and the contribution value of population factors and non-population factors in lung cancer mortality change was calculated by the mortality differential decomposition method. GeoDa 1.20 and ArcGIS 10.8 software were used for spatial autocorrelation analysis and visualization map display.Results:The crude mortality rate of lung cancer in Shandong Province showed a significant upward trend from 1970 to 2021, rising from 7.22 per 100 000 in 1970-1974 to 62.73 per 100 000 in 2020-2021, with an increase of 7.69 times. Meanwhile, the standardized mortality rate of lung cancer exhibited a trend of increasing first and then decreasing. The differential analysis of lung cancer mortality in different years revealed that changes in crude mortality rates were the result of the combined effects of demographic and non-demographic factors. The proportion of population factors (aging population) leading to an increase in lung cancer mortality rate rose from 2.12% in 1990-1992 to 40.20% in 2020-2021. From a spatial distribution perspective, there were significant regional differences in lung cancer mortality rates among counties (cities, districts) in Shandong Province across different eras. Compared to the period of 1970-1974, the lung cancer mortality rates in all counties and districts in 2020-2021 showed a considerable increase, and there were noticeable changes in the areas of high-high and low-low clustering of lung cancer mortality rates across different eras.Conclusion:There have been significant temporal and spatial changes in the mortality rate of lung cancer in Shandong Province from 1970 to 2021. The crude mortality rate has shown an upward trend, while the standardized mortality rate increases first and then decreases. The concentration of lung cancer mortality rates in counties and districts has also undergone significant changes.

Objective:To explore the spatial clustering of the mortality rate of cervical cancer in different counties (cities, districts) in Shandong Province from 1970 to 2021 and its 50-year changing trend, so as to provide basis for the implementation and evaluation of prevention and control strategies and programs such as cervical cancer screening, early diagnosis and treatment, human papilloma virus (HPV) vaccination, etc.Methods:The mortality data of cervical cancer were obtained from the death registration system of Shandong Province and the data of three retrospective surveys of death causes. The mortality rate and age-standardized mortality rate (using the population composition of China in 1964) are used to describe the changing trend of cervical cancer in different years. The contribution values of population factors and non-population factors in cervical cancer mortality change are calculated by mortality differential decomposition method. ArcGIS 10.8 software is used for spatial distribution and spatial autocorrelation analysis.Results:From 1970 to 2021, the crude mortality rate and age standardized mortality rate of cervical cancer in Shandong Province showed a trend of first rapid decline and then slow increase. The crude mortality rate and standardized mortality rate of female cervical cancer in Shandong Province in 1970-1974 were the highest, reaching 17.22/10 5 and 13.17/10 5, respectively. In 2004-2005, it dropped to the lowest levels of 1.50/10 5 and 0.83/10 5. Subsequently, it slowly rose to 4.12/10 5 and 1.56/10 5 in 2020-2021. The differential analysis of cervical cancer mortality in different years found that the change of cervical cancer mortality was caused by the combined action of population factors and non-population factors. Among them, demographic factors (aging population) led to the increase of cervical cancer mortality, but non-demographic factors (early diagnosis and treatment, HPV infection level, medical technology level, etc) lead to the decrease of cervical cancer mortality. Compared with 1970-1974, with the passage of time, the absolute values of the contribution values of population factors and non-population factors showed an increasing trend, while the contribution of non-population factors was greater than that of population factors, which led to the decline of cervical cancer mortality. From the perspective of spatial distribution, there were great regional differences in the mortality rate of cervical cancer in different counties of Shandong Province. In 2020-2021, the mortality rate of cervical cancer in all counties decreased to a great extent compared with that in 1970-1974, and the high-high and low-low concentration areas of cervical cancer mortality in different years changed obviously. The high-aggregation areas of the cervical cancer mortality rate in Shandong Province from 2020 to 2021 were mainly distributed in some counties and districts of Linyi City, Zaozhuang City, and Heze City in the southwest. Conclusions:There are significant temporal and spatial changes in the mortality rate of cervical cancer in Shandong Province from 1970 to 2021. According to these trends and their geographical and spatial clustering, prevention and control strategies of cervical cancer in different regions should be further formulated and evaluated.

Objective The purpose of this study was to provide a more effective method for researching the prevention and treatment of Graves'disease by comparing the effects of two plasmid vectors expressing the human thyrotropin receptor(TSHR)A subunit gene in inducing an animal model of Graves'disease via electroporation.Methods Plasmids pcDNA3.1-THSR A,and pTriEx1.1-THSR A expressing the TSHR A subunit were constructed and used to induce Graves'disease by intramuscular injection with immediate electroporation once every 3 weeks for a total of 4 times.Mice in the control group were injected with PBS.One week after the second electroporation,blood was collected to measure serum thyrotropin receptor antibody(TRAb).Three weeks following the last electroporation,echocardiography was performed on the mice.Mice were sacrificed 4 weeks after the last electroporation;blood,thyroid,and orbital tissues were collected;serum total thyroxine(TT4)was measured;and histological examination was performed.Results The average concentrations of serum TRAb in the pcDNA3.1-TSHR A group(n=15)and the pTriEx1.1-TSHR A group(n=13)were(6.9±2.0)U/L and(7.5±2.2)U/L,respectively.The latter was significantly higher than that in the control group(4.9±0.5)U/L(P=0.033).The average concentrations of serum TT4 in the pcDNA3.1-TSHR A group and pTriEx1.1-TSHR A group were(41.4±23.8)ng/mL and(63.2±53.7)ng/mL,respectively,both higher than that in the control group:(20.2±4.0)ng/mL(P＜0.01).Thyroid pathology showed thyroid follicular epithelial hyperplasia with T-cell infiltration in the model group.Echocardiography showed that the left ventricle mass in the pTriEx1.1-TSHR A group was higher than those in the control group(P=0.007)and pcDNA3.1-TSHR A group(P=0.012).Orbital pathology showed fibrotic changes in the extraocular muscles of mice in the model groups.Conclusions Both pcDNA3.1 and pTriEx1.1 expressing the TSHR A subunit were able to induce Graves'disease in mice by electroporation,and the efficiency of the two plasmids in inducing hyperthyroidism and Graves'ophthalmopathy was similar.The efficiency of pTriEx 1.1-TSHR A in inducing thyrotoxic heart disease was better than that of pcDNA3.1-TSHR A.

Objective:We aimed to analyze the spatio-temporal trend of breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and predict the development trend from 2024 to 2030.Methods:Data on the incidence and mortality of breast cancer in Shandong Province from 2012 to 2023 were obtained from the Shandong Cancer Registry. The incidence, age-specific incidence, mortality, and age-specific mortality in different years, as well as in urban and rural areas, were calculated, and the rates were standardized based on the age composition of the Chinese standard population in 2000. The average annual percent change (AAPC) rate was calculated using Joinpoint 4.8.0.1 software. The global and local spatial autocorrelation analysis were performed using GeoDa 1.12 software. The Bayesian age-period-cohort model was used to predict the trend of breast cancer incidence and mortality from 2024 to 2030.Results:From 2012 to 2023, the breast cancer age-standardized incidence rate (ASIR) showed an increasing trend. The ASIR increased from 30.48/100 000 in 2012 to 39.94/100 000 in 2023 (AAPC=2.59%, P<0.001). The ASIR of urban and rural females also showed an upward trend. Additionally, the ASIR in rural areas (AAPC=3.33%, P<0.001) increased more than that in urban areas (AAPC=1.83%, P=0.002). The incidence peak of breast cancer mainly concentrated in population aged 45-64 years, and with the increase of years, the incidence peak gradually moved forward. The age-standardized mortality rate (ASMR) showed a downward trend. The ASMR decreased from 6.89/100 000 in 2012 to 4.93/100 000 in 2023 (AAPC=-3.12%, P<0.001). The ASMR of urban and rural females also showed a downward trend (urban: AAPC=-3.56%, P=0.007; rural: AAPC=-2.72%, P<0.001). The spatial analysis showed that from 2015 to 2023, the clustering areas of breast cancer incidence and mortality in Shandong had changed significantly. In 2015, the "High-high clusters" of ASIR mainly included Wendeng District in Weihai City, Dongying District, Kenli District, Lijin County, Guangrao County in Dongying City, Tianqiao District, Shizhong District in Jinan City; In 2023, the "High-high clusters" mainly included Jiaxiang County, Liangshan County, Jinxiang County, Wenshang County, Rencheng District in Jining City, Hedong District in Linyi City, Guangrao County in Dongying City. In 2015, the "High-high clusters" of ASMR only included Wenshang County in Jining City. In 2023, the "High-high clusters" mainly included Laizhou County in Yantai City, Junan County and Yishui County in Linyi City, Gaotang County in Liaocheng City, Dongping County and Ningyang County in Taian City. The Bayesian age-period-cohort model predicted that the ASIR trend of breast cancer in Shandong tended to be smooth (AAPC=0.33%, P=0.001). However, the ASMR remained decreasing (AAPC=-4.68%, P<0.001). Conclusions:The breast cancer incidence in Shandong showed an increasing trend, and it is expected to be smooth by 2030. However, the mortality showed a continuous downward trend. The incidence peak was mainly in the population aged 45-64 years, with obvious regional differences. Targeted prevention and control measures should be taken for high-risk groups and areas in Shandong Province.

Objective:We aimed to analyze the spatio-temporal trend of breast cancer incidence and mortality in Shandong Province from 2012 to 2023 and predict the development trend from 2024 to 2030.Methods:Data on the incidence and mortality of breast cancer in Shandong Province from 2012 to 2023 were obtained from the Shandong Cancer Registry. The incidence, age-specific incidence, mortality, and age-specific mortality in different years, as well as in urban and rural areas, were calculated, and the rates were standardized based on the age composition of the Chinese standard population in 2000. The average annual percent change (AAPC) rate was calculated using Joinpoint 4.8.0.1 software. The global and local spatial autocorrelation analysis were performed using GeoDa 1.12 software. The Bayesian age-period-cohort model was used to predict the trend of breast cancer incidence and mortality from 2024 to 2030.Results:From 2012 to 2023, the breast cancer age-standardized incidence rate (ASIR) showed an increasing trend. The ASIR increased from 30.48/100 000 in 2012 to 39.94/100 000 in 2023 (AAPC=2.59%, P<0.001). The ASIR of urban and rural females also showed an upward trend. Additionally, the ASIR in rural areas (AAPC=3.33%, P<0.001) increased more than that in urban areas (AAPC=1.83%, P=0.002). The incidence peak of breast cancer mainly concentrated in population aged 45-64 years, and with the increase of years, the incidence peak gradually moved forward. The age-standardized mortality rate (ASMR) showed a downward trend. The ASMR decreased from 6.89/100 000 in 2012 to 4.93/100 000 in 2023 (AAPC=-3.12%, P<0.001). The ASMR of urban and rural females also showed a downward trend (urban: AAPC=-3.56%, P=0.007; rural: AAPC=-2.72%, P<0.001). The spatial analysis showed that from 2015 to 2023, the clustering areas of breast cancer incidence and mortality in Shandong had changed significantly. In 2015, the "High-high clusters" of ASIR mainly included Wendeng District in Weihai City, Dongying District, Kenli District, Lijin County, Guangrao County in Dongying City, Tianqiao District, Shizhong District in Jinan City; In 2023, the "High-high clusters" mainly included Jiaxiang County, Liangshan County, Jinxiang County, Wenshang County, Rencheng District in Jining City, Hedong District in Linyi City, Guangrao County in Dongying City. In 2015, the "High-high clusters" of ASMR only included Wenshang County in Jining City. In 2023, the "High-high clusters" mainly included Laizhou County in Yantai City, Junan County and Yishui County in Linyi City, Gaotang County in Liaocheng City, Dongping County and Ningyang County in Taian City. The Bayesian age-period-cohort model predicted that the ASIR trend of breast cancer in Shandong tended to be smooth (AAPC=0.33%, P=0.001). However, the ASMR remained decreasing (AAPC=-4.68%, P<0.001). Conclusions:The breast cancer incidence in Shandong showed an increasing trend, and it is expected to be smooth by 2030. However, the mortality showed a continuous downward trend. The incidence peak was mainly in the population aged 45-64 years, with obvious regional differences. Targeted prevention and control measures should be taken for high-risk groups and areas in Shandong Province.

Objective:To understand spatial aggregation of lung cancer mortality and its changing trends over the past fifty years in different counties and districts of Shandong Province from 1970 to 2021.Methods:The mortality data of lung cancer were obtained from the death registration system of Shandong province and three retrospective surveys of death cause. The mortality rate and age-standardized mortality rate were used to describe the changing trend of lung cancer in different years, and the contribution value of population factors and non-population factors in lung cancer mortality change was calculated by the mortality differential decomposition method. GeoDa 1.20 and ArcGIS 10.8 software were used for spatial autocorrelation analysis and visualization map display.Results:The crude mortality rate of lung cancer in Shandong Province showed a significant upward trend from 1970 to 2021, rising from 7.22 per 100 000 in 1970-1974 to 62.73 per 100 000 in 2020-2021, with an increase of 7.69 times. Meanwhile, the standardized mortality rate of lung cancer exhibited a trend of increasing first and then decreasing. The differential analysis of lung cancer mortality in different years revealed that changes in crude mortality rates were the result of the combined effects of demographic and non-demographic factors. The proportion of population factors (aging population) leading to an increase in lung cancer mortality rate rose from 2.12% in 1990-1992 to 40.20% in 2020-2021. From a spatial distribution perspective, there were significant regional differences in lung cancer mortality rates among counties (cities, districts) in Shandong Province across different eras. Compared to the period of 1970-1974, the lung cancer mortality rates in all counties and districts in 2020-2021 showed a considerable increase, and there were noticeable changes in the areas of high-high and low-low clustering of lung cancer mortality rates across different eras.Conclusion:There have been significant temporal and spatial changes in the mortality rate of lung cancer in Shandong Province from 1970 to 2021. The crude mortality rate has shown an upward trend, while the standardized mortality rate increases first and then decreases. The concentration of lung cancer mortality rates in counties and districts has also undergone significant changes.

Objective The purpose of this study was to provide a more effective method for researching the prevention and treatment of Graves'disease by comparing the effects of two plasmid vectors expressing the human thyrotropin receptor(TSHR)A subunit gene in inducing an animal model of Graves'disease via electroporation.Methods Plasmids pcDNA3.1-THSR A,and pTriEx1.1-THSR A expressing the TSHR A subunit were constructed and used to induce Graves'disease by intramuscular injection with immediate electroporation once every 3 weeks for a total of 4 times.Mice in the control group were injected with PBS.One week after the second electroporation,blood was collected to measure serum thyrotropin receptor antibody(TRAb).Three weeks following the last electroporation,echocardiography was performed on the mice.Mice were sacrificed 4 weeks after the last electroporation;blood,thyroid,and orbital tissues were collected;serum total thyroxine(TT4)was measured;and histological examination was performed.Results The average concentrations of serum TRAb in the pcDNA3.1-TSHR A group(n=15)and the pTriEx1.1-TSHR A group(n=13)were(6.9±2.0)U/L and(7.5±2.2)U/L,respectively.The latter was significantly higher than that in the control group(4.9±0.5)U/L(P=0.033).The average concentrations of serum TT4 in the pcDNA3.1-TSHR A group and pTriEx1.1-TSHR A group were(41.4±23.8)ng/mL and(63.2±53.7)ng/mL,respectively,both higher than that in the control group:(20.2±4.0)ng/mL(P＜0.01).Thyroid pathology showed thyroid follicular epithelial hyperplasia with T-cell infiltration in the model group.Echocardiography showed that the left ventricle mass in the pTriEx1.1-TSHR A group was higher than those in the control group(P=0.007)and pcDNA3.1-TSHR A group(P=0.012).Orbital pathology showed fibrotic changes in the extraocular muscles of mice in the model groups.Conclusions Both pcDNA3.1 and pTriEx1.1 expressing the TSHR A subunit were able to induce Graves'disease in mice by electroporation,and the efficiency of the two plasmids in inducing hyperthyroidism and Graves'ophthalmopathy was similar.The efficiency of pTriEx 1.1-TSHR A in inducing thyrotoxic heart disease was better than that of pcDNA3.1-TSHR A.

Objective:To explore the spatial clustering of the mortality rate of cervical cancer in different counties (cities, districts) in Shandong Province from 1970 to 2021 and its 50-year changing trend, so as to provide basis for the implementation and evaluation of prevention and control strategies and programs such as cervical cancer screening, early diagnosis and treatment, human papilloma virus (HPV) vaccination, etc.Methods:The mortality data of cervical cancer were obtained from the death registration system of Shandong Province and the data of three retrospective surveys of death causes. The mortality rate and age-standardized mortality rate (using the population composition of China in 1964) are used to describe the changing trend of cervical cancer in different years. The contribution values of population factors and non-population factors in cervical cancer mortality change are calculated by mortality differential decomposition method. ArcGIS 10.8 software is used for spatial distribution and spatial autocorrelation analysis.Results:From 1970 to 2021, the crude mortality rate and age standardized mortality rate of cervical cancer in Shandong Province showed a trend of first rapid decline and then slow increase. The crude mortality rate and standardized mortality rate of female cervical cancer in Shandong Province in 1970-1974 were the highest, reaching 17.22/10 5 and 13.17/10 5, respectively. In 2004-2005, it dropped to the lowest levels of 1.50/10 5 and 0.83/10 5. Subsequently, it slowly rose to 4.12/10 5 and 1.56/10 5 in 2020-2021. The differential analysis of cervical cancer mortality in different years found that the change of cervical cancer mortality was caused by the combined action of population factors and non-population factors. Among them, demographic factors (aging population) led to the increase of cervical cancer mortality, but non-demographic factors (early diagnosis and treatment, HPV infection level, medical technology level, etc) lead to the decrease of cervical cancer mortality. Compared with 1970-1974, with the passage of time, the absolute values of the contribution values of population factors and non-population factors showed an increasing trend, while the contribution of non-population factors was greater than that of population factors, which led to the decline of cervical cancer mortality. From the perspective of spatial distribution, there were great regional differences in the mortality rate of cervical cancer in different counties of Shandong Province. In 2020-2021, the mortality rate of cervical cancer in all counties decreased to a great extent compared with that in 1970-1974, and the high-high and low-low concentration areas of cervical cancer mortality in different years changed obviously. The high-aggregation areas of the cervical cancer mortality rate in Shandong Province from 2020 to 2021 were mainly distributed in some counties and districts of Linyi City, Zaozhuang City, and Heze City in the southwest. Conclusions:There are significant temporal and spatial changes in the mortality rate of cervical cancer in Shandong Province from 1970 to 2021. According to these trends and their geographical and spatial clustering, prevention and control strategies of cervical cancer in different regions should be further formulated and evaluated.

Objective:To understand the characteristics and trends of acute myocardial infarction (AMI) in Shandong Province and to provide evidence for formulating prevention and control strategies.Methods:Data were derived from the AMI incidence reports of Shandong Province's Chronic Disease Surveillance Information Management System in 2012-2021. The crude and standardized incidence rates were used as indicators to describe the incidence level of AMI. Joinpoint regression analysis was used to analyze the trends in the incidence and age of onset over the years. The contribution of population aging to the increase in AMI incidence was assessed using the rate difference decomposition method. The incidence of AMI in each district (county) in Shandong Province was visualized using ArcGIS 10.8 software, and global and local spatial autocorrelation analysis was performed using DeoDa 1.12 software.Results:From 2012 to 2021, 198 233 cases of AMI were reported from 19 provincial monitoring sites in Shandong Province, of which 53.13% were males and 97.12% were ≥45 years old. The reported crude incidence increased from 90.12 per 100 000 in 2012 to 176.54 per 100 000 in 2021, with an average annual increase of 7.01% ( Z=7.35 , P<0.001). There was no significant upward trend in standardized incidence ( Z=1.64 , P=0.140), but the standardized incidence of male residents showed an increasing trend ( Z=2.76 , P=0.028). Before 2014, the reported crude incidence of males was similar to that of females, but after 2014, the reported crude incidence of males was continuously higher than that of females. However, males' standardized incidence was higher than females in all years. Both crude and standardized incidence rates were higher in rural residents than in urban areas. The median onset of AMI increased from 71.6 years old in 2012 to 73.5 years old in 2021. The median age of onset in males was lower than that in females in all years, and in most years, the median age of onset in urban residents was lower than that in rural residents. The incidence of AMI in males showed a trend in younger age groups. According to the seasonal decomposition, the incidence peak of AMI was in January, and the trough was in September. The contribution of aging population to the increase in crude incidence of AMI increased from 8.63% in 2013 to 52.58% in 2021. The global spatial autocorrelation analysis showed that the incidence of AMI presented an obvious spatial clustering distribution. Local spatial autocorrelation analysis found that the high-incidence areas (counties) were mainly concentrated in Liaocheng City and Dezhou City in the northwest region of Shandong Province and Heze City in the southwest. Conclusions:The incidence of AMI among residents in Shandong Province was rising, with spatial clustering and seasonal clustering characteristics. People aged 45 years and older, male residents, and rural residents were at high risk of developing AMI. There was a certain trend of younger age at onset among men. Targeted prevention and control measures should be taken for high-incidence seasons, high-risk groups, and high-incidence clustering areas in northwestern Shandong Province.

Objective:To systematically analyze and evaluate the predictive performance of 5 assessment scales (Munro Pressure Ulcer Risk Assessment Scale, Norton Scale, Braden Scale, Scott Triggers Scale and Waterlow Scale) for adult intraoperatively acquired pressure injury (IAPI), so as to provide reference for the selection of appropriate assessment scales.Methods:This study is a Meta-analysis. Research on the adult IAPI assessment scale was retrieved through computers in databases such as VIP, WanFang Data, China National Knowledge Infrastructure, China Biology Medicine disc, PubMed, Embase, Web of Science and Cochrane Library. The search time limit was from the establishment of the database to December 2, 2021.Two researchers independently screened the article, conducted quality evaluation and data extraction on the included article, and conducted descriptive analysis on the sensitivity and specificity of each scale. The researchers used RevMan 5.3 software to create a receiver operating characteristic (ROC) curve and calculate the area under the curve.Results:A total of 13 articles were included, with a total of 5 640 cases, and the incidence of IAPI was 8.09% (456/5 640). A Meta-analysis was conducted after merging 8 articles on the Braden scale. After merging, it was found that the sensitivity of the scale was 0.76 [95% confidence interval ( CI) (0.72, 0.81) ], the specificity was 0.53 [95% CI (0.51, 0.54) ], and the area under the ROC curve was 0.70. After a combined analysis of 7 articles on the Munro Pressure Ulcer Risk Assessment Scale, it was found that the sensitivity of the scale was 0.81 [95% CI (0.75, 0.86) ], the specificity was 0.79 [95% CI (0.77, 0.81) ], and the area under the ROC curve was 0.84. After a combined analysis of 4 articles on the Waterlow scale, it was found that the sensitivity of the scale was 0.78 [95% CI (0.69, 0.86) ], the specificity was 0.60 [95% CI (0.58, 0.62) ], and the area under the ROC curve was 0.72. After a combined analysis of 3 articles on the Norton scale, it was found that the sensitivity of the scale was 0.67 [95% CI (0.56, 0.77) ], the specificity was 0.69 [95% CI (0.67, 0.71) ], and the area under the ROC curve was 0.74. After a combined analysis of 3 articles on the Scott Triggers Scale, it was found that the sensitivity of the scale was 0.80 [95% CI (0.68, 0.89) ], the specificity was 0.53 [95% CI (0.50, 0.56) ], and the area under the ROC curve was 0.67. Conclusions:As a special scale for surgical patients, the Munro scale has superior sensitivity, specificity, and area under the ROC curve to other evaluation scales. It is recommended that Operating Room nurses prioritize the Munro scale for assessing the risk of IAPI in adult surgical patients.